B. Grigelionis
Impact in
- Finance top 2%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
Papers in
- Finance 33
- Stochastic processes and financial applications 31
- Financial Risk and Volatility Modeling 7
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- Stochastic processes and statistical mechanics 10
- advanced mathematical theories 8
- Mathematical Dynamics and Fractals 6
- Co-authors
- Albert N. Shiryaev (2 shared papers)R. Mikulevíčius (12 shared papers)V. Statulevičius (2 shared papers)Jonas Kubilius (1 shared paper)H. Pragarauskas (1 shared paper)Vigirdas Mackevičius (1 shared paper)Yu. V. Prohorov (1 shared paper)
In The Last Decade
B. Grigelionis
68 papers receiving 448 citations
Peers
Comparison fields: 5 of 83
- Finance 284
- Mathematical Physics 114
- Statistics and Probability 89
- Management Science and Operations Research 112
- Applied Mathematics 80
Countries citing papers authored by B. Grigelionis
This map shows the geographic impact of B. Grigelionis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by B. Grigelionis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Grigelionis more than expected).
Fields of papers citing papers by B. Grigelionis
This network shows the impact of papers produced by B. Grigelionis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by B. Grigelionis. The network helps show where B. Grigelionis may publish in the future.
Co-authors
The 7 scholars most cited alongside B. Grigelionis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1966 | 78 | |
| 2 | 1999 | 68 | |
| 3 | 1963 | 63 | |
| 4 | 2001 | 33 | |
| 5 | 1994 | 28 | |
| 6 | 2012 | 20 | |
| 7 | 1973 | 15 | |
| 8 | 1976 | 14 | |
| 9 | 1971 | 13 | |
| 10 | 1976 | 10 | |
| 11 | 2003 | 10 | |
| 12 | 2006 | 9 | |
| 13 | 1971 | 8 | |
| 14 | 1993 | 8 | |
| 15 | 1982 | 8 | |
| 16 | 2007 | 8 | |
| 17 | 1979 | 7 | |
| 18 | 1974 | 7 | |
| 19 | 2007 | 7 | |
| 20 | 1998 | 6 |
About B. Grigelionis
B. Grigelionis is a scholar working on Finance, Mathematical Physics, Applied Mathematics, Management Science and Operations Research and Statistics and Probability, having authored 80 papers that have together received 563 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (31 papers), Probability and Risk Models (15 papers), Stochastic processes and statistical mechanics (10 papers), advanced mathematical theories (8 papers), Point processes and geometric inequalities (7 papers), Financial Risk and Volatility Modeling (7 papers), Random Matrices and Applications (6 papers) and Mathematical Dynamics and Fractals (6 papers). The work is most often cited by research in Finance (284 citations), Mathematical Physics (114 citations), Statistics and Probability (89 citations), Management Science and Operations Research (112 citations) and Applied Mathematics (80 citations). B. Grigelionis has collaborated with scholars based in Lithuania, Czechia and Bulgaria. Frequent co-authors include Albert N. Shiryaev, R. Mikulevíčius, V. Statulevičius, Jonas Kubilius, H. Pragarauskas, Vigirdas Mackevičius and Yu. V. Prohorov. Their work appears in journals such as Lecture notes in mathematics, Lithuanian Mathematical Journal, Lecture notes in control and information sciences, Russian Mathematical Surveys and Scandinavian Actuarial Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.